From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...

We are living through one of those rare moments when an entire industry cycle is being reimagined. Like the internet revolution of the 1990s, artificial intelligence is fundamentally reshaping how ...

The path to AI success starts with a single, well-chosen use case: one that is bold enough to inspire, urgent enough to ...

A Microsoft UX lead details her non-traditional path into AI, starting with studying architecture and highlighting lessons in ...

Boards are pushing for AI, but Nintex CTO Niranjan Vijayaragavan warns that without a foundation of traditional auto-mation ...

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

AS ARTIFICIAL INTELLIGENCE (AI) becomes increasingly embedded in everyday business tools, boards of directors face a subtle but critical governance challenge. AI is no longer confined to bespoke ...

Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...